mcpField
M
MCP PhenoAge Clock Server

MCP PhenoAge Clock Server

Local
github.com/199-biotechnologiesHealth5Updated 74w ago

About MCP PhenoAge Clock Server

MCP PhenoAge Clock Server estimates biological age from blood biomarkers using the Morgan Levine PhenoAge formula. It is for users calculating or reviewing this measure, and also returns age difference, mortality score, interpretation, and biomarker ranges.

Key features

  1. 01Calculate biological age with the PhenoAge formula
  2. 02Use age and nine blood biomarkers
  3. 03Return the difference from chronological age
  4. 04Provide a mortality score and interpretation
  5. 05Retrieve biomarker reference ranges

Use cases

  1. 01Calculate PhenoAge from lab measurements
  2. 02Compare biological and chronological age
  3. 03Review biomarker reference and optimal values
  4. 04Read an interpretation of the calculation

MCP support

This MCP server exposes the `calculate_phenoage` and `get_biomarker_ranges` tools to clients for PhenoAge calculation and biomarker range lookup.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

mcp.json · Universal config
{
"mcpServers": {
"phenoage-clock": {
"command": "npx",
"args": [
"-y",
"mcp-phenoage-clock"
]
}
}
}
Run commandnpx -y mcp-phenoage-clock

Local servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.

Packages
npmmcp-phenoage-clock

Tools

2

Saved tool list · updated 3w ago

ParameterTypeRequiredDescription
biomarkersobjectYesBlood biomarker values for PhenoAge calculation
biomarkers.agenumberYesChronological age in years
biomarkers.albuminnumberYesAlbumin in g/dL
biomarkers.creatininenumberYesCreatinine in mg/dL
biomarkers.glucosenumberYesGlucose in mg/dL (fasting)
biomarkers.crpnumberYesC-reactive protein (CRP) in mg/L
biomarkers.lymphocytePercentnumberYesLymphocyte percentage
biomarkers.meanCellVolumenumberYesMean cell volume (MCV) in fL
biomarkers.redCellDistWidthnumberYesRed cell distribution width (RDW) in %
biomarkers.alkalinePhosphatasenumberYesAlkaline phosphatase in U/L
biomarkers.whiteBloodCellCountnumberYesWhite blood cell count in 1000 cells/μL

Details

From the project README

MCP PhenoAge Clock Server

An MCP (Model Context Protocol) server that calculates biological age using the Morgan Levine PhenoAge clock based on blood biomarkers.

Overview

The PhenoAge clock is a biological aging measure developed by Dr. Morgan Levine and colleagues. It uses 9 blood biomarkers plus chronological age to estimate "phenotypic age" - a measure that captures morbidity and mortality risk better than chronological age alone.

Based on: Levine et al. (2018) "An epigenetic biomarker of aging for lifespan and healthspan" Aging (Albany NY). 2018;10(4):573-591

Installation

Via NPX (Recommended)
npx mcp-phenoage-clock
Via NPM
npm install -g mcp-phenoage-clock
mcp-phenoage-clock
From Source
git clone https://github.com/199-biotechnologies/mcp-phenoage-clock.git
cd mcp-phenoage-clock
npm install
npm run build
npm start

Usage with Claude Desktop

Add to your Claude Desktop configuration file:

macOS: ~/Library/Application Support/Claude/claude_desktop_config.json Windows: %APPDATA%\Claude\claude_desktop_config.json

{
  "mcpServers": {
    "phenoage-clock": {
      "command": "npx",
      "args": ["mcp-phenoage-clock"]
    }
  }
}

Available Tools

calculate_phenoage

Calculates your biological age using the PhenoAge formula.

Required biomarkers:

  • age: Chronological age (years)
  • albumin: Albumin (g/dL)
  • creatinine: Creatinine (mg/dL)
  • glucose: Glucose (mg/dL) - must be fasting
  • crp: C-reactive protein (mg/L)
  • lymphocytePercent: Lymphocyte percentage (%)
  • meanCellVolume: Mean cell volume/MCV (fL)
  • redCellDistWidth: Red cell distribution width/RDW (%)
  • alkalinePhosphatase: Alkaline phosphatase (U/L)
  • whiteBloodCellCount: White blood cell count (1000 cells/μL)

Returns:

  • PhenoAge (biological age)
  • Age difference (PhenoAge - chronological age)
  • Mortality score
  • Interpretation
get_biomarker_ranges

Returns reference ranges and optimal values for all biomarkers.

Example Usage in Claude

User: Calculate my PhenoAge with these values:
- Age: 45
- Albumin: 4.2 g/dL
- Creatinine: 0.9 mg/dL
- Glucose: 85 mg/dL
- CRP: 0.5 mg/L
- Lymphocyte %: 30
- MCV: 89 fL
- RDW: 12.5%
- Alkaline phosphatase: 65 U/L
- WBC: 6.2

Claude will use the calculate_phenoage tool and return your biological age.

Understanding Your Results

  • PhenoAge < Chronological Age: Your biological age is younger than your actual age, suggesting good health
  • PhenoAge ≈ Chronological Age: Normal aging pattern
  • PhenoAge > Chronological Age: Your biological age is older than your actual age, suggesting accelerated aging

Important Notes

  1. Fasting Glucose: The glucose measurement must be taken after fasting
  2. Units Matter: Ensure your lab results match the required units
  3. Medical Advice: This tool is for informational purposes only. Always consult healthcare providers for medical decisions
  4. Lab Variations: Different labs may use different reference ranges
  5. Formula Limitations: In rare cases with certain biomarker combinations, the mortality score may reach mathematical limits, resulting in clamped calculations. This is a limitation of the formula, not necessarily indicative of health status

Formula Details

The PhenoAge calculation uses the following formula:

xb = -19.907 - 0.0336×albumin + 0.0095×creatinine + 0.1953×glucose 
     + 0.0954×ln(CRP) - 0.0120×lymphocyte% + 0.0268×MCV 
     + 0.3306×RDW + 0.00188×alkaline_phosphatase + 0.0554×WBC + 0.0804×age

mortality_score = 1 - exp(-exp(xb) × (exp(120×γ) - 1) / γ)
where γ = 0.0076927

PhenoAge = 141.50225 + ln(-0.00553 × ln(1 - mortality_score)) / 0.090165

Development

# Install dependencies
npm install

# Build
npm run build

# Run in development
npm run dev

License

MIT

Contributing

Contributions welcome! Please submit PRs to the GitHub repository.

References

  • Levine ME, Lu AT, Quach A, et al. An epigenetic biomarker of aging for lifespan and healthspan. Aging (Albany NY). 2018;10(4):573-591.
  • Original paper supplementary materials: Table S6 contains the full coefficient values

Comments

Markdown supported

New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.